Using Geostatistics to Map Received Power in Wireless Communication Networks

Abstract

The literature analysis of propagation models has investigated different prediction methods to identify appropriate techniques for this purpose. The predictive algorithms of these models usually deal with large amounts of data, requires a sophisticated computer processing and knowledge, sometimes detailed of the topography of the terrain. For being based on measurements performed at specific locations, empirical models tend not to provide very reliable results when applied to regions that differ significantly from the original region This article proposes a method based on measured data that incorporates the effects of neighborhood on the calculation of received power (dBm) and uses the theory of geostatistics to estimate the extent of the spatial correlation between measurements of samples in the region of interest. The results show that it is possible to identify the vectors with better reception of the signal emitted by the base transceiver station by the spatial perspective of received power measurements (dBm) and to identify homogeneous zones and those zones where the service operator may or may not favor the user.